Finance tools module
Project description
finpredict python package
Example Usage
from finpredict import FinData
data = FinData()
df = data.get_stock('MSFT', start='2015-01', end='2021-04')
print(df.tail())
Output:
Date High Low Open Close Volume Adj Close ... Year 8ema 21ema 20sma 50sma 100sma 200sma
1568 2021-03-26 236.710007 231.550003 231.550003 236.479996 25471700.0 236.479996 ... 2021 234.814500 234.462601 233.582500 234.082044 224.850104 216.130061
1569 2021-03-29 236.800003 231.880005 236.589996 235.240005 25227500.0 235.240005 ... 2021 234.909057 234.533274 233.497501 234.536234 225.189124 216.381713
1570 2021-03-30 233.850006 231.100006 233.529999 231.850006 24792000.0 231.850006 ... 2021 234.229268 234.289341 233.396501 234.930007 225.453446 216.609118
1571 2021-03-31 239.100006 232.389999 232.910004 235.770004 43623500.0 235.770004 ... 2021 234.571654 234.423947 233.807001 235.326554 225.657856 216.850167
1572 2021-04-01 242.839996 238.050003 238.470001 242.350006 30312000.0 242.350006 ... 2021 236.300176 235.144498 234.588002 235.697064 225.859404 217.101135
Supported methods and how to use
get_gdp
Get Global GDP
get_unemployment
Get Unemployment rate
get_currencies
get_finance_data
get_stock
get_war_index
get_covid_stat
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